Adjusted for black

docs/website/docs/walkthroughs/deploy-a-pipeline/deploy-with-modal-snippets.py

@@ -1,26 +1,26 @@
 import os
 from tests.pipeline.utils import assert_load_info
 
+
 def modal_snippet() -> None:
     # @@@DLT_SNIPPET_START modal_image
     import modal
     import os
-    
+
     # Define the Modal Image
     image = modal.Image.debian_slim().pip_install(
-+        "dlt>=1.1.0",
-+        "dlt[duckdb]",  # destination
-+        "dlt[sql_database]",  # source (postgres)
-+        "pymysql",  # database driver for MySQL source
-     )
+        "dlt>=1.1.0",
+        "dlt[duckdb]",  # destination
+        "dlt[sql_database]",  # source (postgres)
+        "pymysql",  # database driver for MySQL source
     )
-    
+
     app = modal.App("example-dlt", image=image)
- 
+
     # Modal Volume used to store the duckdb database file
     vol = modal.Volume.from_name("duckdb-vol", create_if_missing=True)
     # @@@DLT_SNIPPET_END modal_image
-    
+
     # @@@DLT_SNIPPET_START modal_function
     @app.function(
         volumes={"/data/": vol},
@@ -30,28 +30,28 @@ def modal_snippet() -> None:
     def load_tables():
         import dlt
         from dlt.sources.sql_database import sql_database
-    
+
         # Define the source database credentials; in production, you would save this as a Modal Secret which can be referenced here as an environment variable
         # os.environ['SOURCES__SQL_DATABASE__CREDENTIALS']="mysql+pymysql://[email protected]:4497/Rfam"
-    
+
         # Load tables "family" and "genome"
         source = sql_database().with_resources("family", "genome")
-    
+
         # Create dlt pipeline object
         pipeline = dlt.pipeline(
             pipeline_name="sql_to_duckdb_pipeline",
             destination=dlt.destinations.duckdb(
-+                "/data/rfam.duckdb"
-+            ),  # write the duckdb database file to this file location,, which will get mounted to the Modal Volume
+                "/data/rfam.duckdb"
+            ),  # write the duckdb database file to this file location, which will get mounted to the Modal Volume
             dataset_name="sql_to_duckdb_pipeline_data",
             progress="log",  # output progress of the pipeline
         )
-    
+
         # Run the pipeline
         load_info = pipeline.run(source)
-    
+
         # Print run statistics
         print(load_info)
         # @@@DLT_SNIPPET_END modal_function
 
-        assert_load_info(load_info)
+        assert_load_info(load_info)